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Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility.

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第一作者： Sudhi G,Upadhyaya

第一单位： Department of Health Sciences Research, Mayo Clinic, Rochester, MN.

作者： Sudhi G,Upadhyaya ^[1] ; Dennis H,Murphree ^[1] ; Che G,Ngufor ^[1] ; Alison M,Knight ^[2] ; Daniel J,Cronk ^[3] ; Robert R,Cima ^[4] ; Timothy B,Curry ^[5] ; Jyotishman,Pathak ^[1] ; Rickey E,Carter ^[1] ; Daryl J,Kor ^[2]

作者单位： Department of Health Sciences Research, Mayo Clinic, Rochester, MN. ^[1] Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN. ^[2] Department of Information Technology, Mayo Clinic, Rochester, MN. ^[3] Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN.;Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Rochester, MN. ^[4] Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.;Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN. ^[5]

关键词 CCW, Chronic Condition Data Warehouse DDC, Durham Diabetes Coalition DM, diabetes mellitus EHR, electronic health record HbA1c of NYC, Hemoglobin A1c of New York City HbA1c, hemoglobin A1c ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification MICS, Mayo Integrated Clinical Systems NLP, natural language processing SUPREME-DM, Surveillance, Prevention, and Management of Diabetes Mellitus T1DM, type 1 diabetes mellitus T2DM, type 2 diabetes mellitus eMERGE, Electronic Medical Records and Genomics

DOI 10.1016/j.mayocpiqo.2017.04.005

PMID 30225406

发布时间 2022-03-21

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Mayo Clinic proceedings. Innovations, quality & outcomes

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Mayo Clinic proceedings. Innovations, quality & outcomes

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Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility.

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Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility.

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